3 months ago
Remote, United States +2 moreMid Level
H1B sponsor
Base Salary
$140k - $190k/yr
Responsibilities
- Design, build, and deploy online machine learning models for real-time fraud detection.
- Engineer high-frequency time-series features from more than 1 trillion behavioral events.
- Maintain and enhance automated model training and deployment infrastructure.
- Write high-performance code to reduce runtime scoring latency across distributed databases.
- Collaborate with Core Infrastructure, Product Management, and Data Science teams on fraud detection solutions.
Requirements
- At least 4 years of professional experience building and deploying large-scale machine learning models in high-traffic production environments.
- Strong proficiency in Java or Scala and Python.
- Practical experience with Databricks, big data processing frameworks, and NoSQL data stores such as Bigtable.
- Deep understanding of statistical modeling, probability, and machine learning algorithms including XGBoost, Random Forests, Neural Networks, and Clustering techniques.
- Ability to reason about data consistency, pipeline failures, and performance constraints in distributed, multi-tenant GCP environments.
- Preferred qualifications include fraud detection, risk mitigation, or cybersecurity experience; streaming architecture knowledge; Docker and Kubernetes familiarity; and experience with AI coding assistants such as Claude Code.
Benefits
- Final-stage candidates may be asked to travel for in-person final-round interviews.
- Sift describes its workplace as diverse, equitable, and inclusive.
Tech Stack
Apache FlinkApache HadoopApache KafkaApache SparkDatabricksDockerGoogle Cloud PlatformJavaKubernetesPythonScalaXGBoost
Categories
About Sift
Sift builds a cloud-based fraud prevention and risk scoring platform for online businesses, using machine learning to stop payment fraud, account abuse, and chargebacks. The privately held company was founded in 2011 and is headquartered in San Francisco. Its software is used by brands including Hertz, Yelp, and Poshmark, and is sold as a B2B SaaS suite integrated into commerce, payments, and identity workflows.